Abstract: As a renewable and clean energy source, wind power can promote energy diversification and has a positive impact on sustainable development. Compared with onshore wind power, offshore wind power has the advantage of high power generation efficiency and does not take up land resources. Therefore, in recent years, more and more regions have put forward the demand for the construction of offshore wind farms. Compared with the traditional wind tower equipment, the floating wind measurement system has the advantages of a short cycle, low cost, and high re-utilization rate, which is more conducive to the completion of offshore wind farm site selection, while the floating wind measurement equipment is also vulnerable to the impact of the radar's movement caused by high winds, waves and other factors, resulting in errors in the measured wind data. In this study, a floating wind-measurement system based on the ZX 300M continuous wave lidar uses a motion correction algorithm to eliminate errors caused by changes in its motion, which is calculated using the motion data of the buoy in six degrees of freedom to obtain the buoy's own motion speed and rotation matrix for motion error elimination. Compared with the wind measurement results of the met mast, the wind speed determination coefficients of 50 m and 100 m after using the correction algorithm are 0.9960 and 0.9965, respectively, and the wind direction determination coefficients of the corresponding heights are 0.9979, which are both improved compared with the original wind direction and wind speed. The experimental results show that the wind speed and direction measured by the floating wind measurement system based on the motion correction algorithm are close to the actual wind speed and direction of the wind field, and it can be applied to the offshore wind measurement operation, which meets the requirements of the industry specifications.